Comments (6)
Hello @beddows! Great to hear from you. We have discovered a non-deterministic bug in our upload flow that is causing this. We will keep you posted on the fix
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@beddows confirming here that this is an issue with our upload APIs getting overwhelmed. Will keep you posted
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Ok, thanks for letting me know @Jacobsolawetz
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@beddows we have healed these APIs - wondering, about how large is the context you are uploading?
You should have a green light to continue below 500K or so. We were getting some large uploads last week which overwhelmed upload infra
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Thanks @Jacobsolawetz , will check it out! The context file I uploaded was no more than 100k with under 100 rows.
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@beddows let me know! And for 100K wait perhaps 10-20min after upload for it to drain through before train kickoff - we'll have better fully ACK'd upload status soon
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Related Issues (12)
- Repo setup
- Train DALM status link innacurate HOT 1
- enable selecting your org on any given request
- Set up openapi spec
- set a user-agent header like arcee-py/{version} on all api requests HOT 2
- Proposal: DALM connectors for popular frameworks HOT 17
- Method Not Allowed HOT 13
- ImportError: cannot import name 'model_validator' from 'pydantic' (/usr/local/lib/python3.10/dist-packages/pydantic/__init__.py) HOT 4
- Error uploading document(s): Memory Limit Exceeded HOT 1
- Bugfix: pass filters as a dict with Arcee SDK
- Hatchling backwards incompatibility issue
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